Development of Zoning Method for Solving Economic Problems of Optimal Resource Allocation to Objects of Various Importance in Context of Incomplete Information

DOI

10.2991/aebmr.k.200312.108How to use a DOI?

Abstract

The article is devoted to the development of the zoning method, which allows, in the presence of minimal information about states of the research environment, to build algorithms that provide a Pareto-optimal solution within the framework of the theory of a game with “nature”. The idea of the method is to partition the set of possible states of nature into subsets of dominance of individual actions. However, in a number of cases, the use of this method does not allow to obtain the desired optimal solution, although it significantly simplifies its search. This circumstance determined the need for developing the method. The obtained results were defined as a zoning method based on the principle of observing a hierarchical ratio of probabilities of possible states of the external environment of the study. The area of application of the zoning method developed is wide enough according to the principle of observing the hierarchical ratio of probabilities of possible states of the external research environment, but it is most effective to use it to solve economic problems of optimal allocation of resources to objects of various importance in conditions of incomplete information.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - A V Terentyev
AU  - S S Yevtukov
AU  - E A Karelina
PY  - 2020
DA  - 2020/03/17
TI  - Development of Zoning Method for Solving Economic Problems of Optimal Resource Allocation to Objects of Various Importance in Context of Incomplete Information
BT  - Proceedings of the International Scientific Conference "Far East Con" (ISCFEC 2020)
PB  - Atlantis Press
SP  - 765
EP  - 772
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200312.108
DO  - 10.2991/aebmr.k.200312.108
ID  - Terentyev2020
ER  -